The Evolution of Cold Chain Monitoring in Fresh Fish Logistics
Leveraging Real-Time IoT and Predictive Technology for Greater Supply Chain Visibility
Cold chain logistics remains one of the most critical yet vulnerable elements of the fresh fish supply chain. Temperature deviations of only a few degrees can significantly reduce shelf life, compromise product quality and lead to costly losses. As the industry faces increasing demands for transparency, traceability and sustainability, many experts believe the traditional tools used to monitor cold chains are no longer sufficient.
“When you have done everything practical to eliminate biological cross-contamination risks with proteins, fish is still significantly more susceptible to temperature issues causing spoilage than meat from land animals due to biological, chemical and structural differences,” he explains. “It astounds me that we are still relying on what is basically nothing more than a digital thermometer to monitor the environment that these products are both stored and transported in.”
The hidden risks in cold chain logistics
Fresh fish is among the most perishable foods traded globally. Even short periods outside optimal temperature ranges can accelerate bacterial growth and enzymatic degradation. Yet many cold chain monitoring systems still rely on technologies that only reveal problems after a shipment has reached its destination.
Traditionally, data loggers have been used to record temperature during transport. While useful for documenting conditions retrospectively, they offer little opportunity to prevent spoilage in real time. By the time the recorded data is reviewed, the product may already have been compromised.
Manual record keeping and periodic checks also introduce opportunities for human error and can reduce transparency across complex supply chains.
From reactive monitoring to proactive prevention
Advances in Internet of Things (IoT) technology and predictive analytics are beginning to change this landscape. Real-time sensors can now transmit continuous environmental data during transport, allowing operators to identify temperature deviations as they occur.
More sophisticated systems also use predictive analytics and artificial intelligence to analyse patterns and anticipate potential problems before they develop.
According to Thurston, this shift from reactive monitoring to proactive prevention is a fundamental change for cold chain logistics.
“The evolution and ease of use with both AI and always-connected technologies provide a game-changing set of solutions,” he says. “We are now able to actively prevent an issue from occurring rather than start the investigation process after something has gone wrong.”
He adds that traditional data loggers often serve primarily as evidence once a problem has already occurred.
“Old-school data loggers are essentially giving customers like retailers and wholesalers a reason to start a complaint when they press what we call the ‘bad news button’ and discover a temperature excursion.”
Addressing fraud and improving transparency
Beyond operational risk, cold chain logistics also faces challenges around documentation integrity. Temperature records can be falsified or selectively reported, undermining confidence between suppliers, distributors and retailers.
Digitally connected monitoring platforms address this issue by creating secure, verifiable records that track environmental conditions continuously. These systems can provide tamper-resistant audit trails and enhance traceability across the entire journey of a shipment.
Such capabilities are increasingly important as regulatory requirements tighten and buyers demand greater visibility of supply chain practices.
The commercial case for early intervention
For seafood companies operating on tight margins, the economic implications of temperature failures can be significant. Spoilage, rejected deliveries and product recalls all carry direct financial costs, while reputational damage may affect long-term relationships with customers.
Early detection and predictive alerts can reduce these risks substantially. Real-time monitoring allows operators to intervene quickly if conditions deviate, while predictive analysis can highlight equipment or operational issues before they lead to product loss.
In practice, this can translate into improved product quality, reduced waste and more reliable deliveries.
Real-world results
Greenteck has recently partnered with Lancashire-based technology firm System Loco to deploy real-time monitoring and predictive analytics in cold chain logistics.
Thurston rejects the idea that such technology is an expensive gimmick.
“Absolutely not,” he says. “Their technology is marginally more expensive than a traditional data logger, but it allows us to provide customers with real-time monitoring and alerts.”
In one instance, the system detected a potential problem before it developed into a costly incident.
“The AI agent automatically contacted us, the warehouse manager and even the driver—not when we had a problem, but before it occurred based on predictive analysis,” Thurston explains.
“The vehicle was stopped and we discovered the refrigeration unit was set slightly incorrectly. Correcting it prevented what could have been a major loss.”
According to Thurston, the value of the shipment involved meant that intervention avoided approximately £350,000 in potential losses.
“That single shipment effectively paid for the entire rollout of the technology,” he says.
A changing future for seafood logistics
As seafood supply chains become more complex and customer expectations around quality and transparency increase, many industry observers believe the adoption of real-time monitoring technologies will accelerate.
For logistics managers and seafood suppliers, the ability to identify and prevent cold chain failures before they occur could become a critical competitive advantage.
“The industry has focused heavily on hygiene and cross-contamination controls over the years,” Thurston says. “Now the opportunity is to apply the same level of innovation to temperature management and supply chain visibility.”
With the stakes in fresh fish logistics so high, the shift from reactive monitoring to predictive prevention may represent the next major step forward in protecting product quality from harvest to consumer.
Main Image © System Loco